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Pressure Factors Affecting Lombardy Agricultural System: The Environmental Consequences Of The Fischler Reform

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  • Bulgheroni, Claudia
  • Sali, Guido

Abstract

This paper presents a regional model, based on Positive Mathematical Programming, which aims to evaluate the consequences of Fischler reform on the agricultural sector of the Lombardy irrigated lowland (Northern Italy). The model main focus is to quantify the agricultural land use changes due to the farmers reaction to the CAP reform main issues, such as single payment, and to simulate possible scenarios for the future. The model takes into account also the Water Frame Directive principles, in order to combine the assessment of both CAP issues and the potential irrigation water supplies reduction, which could deeply affect the area. The model input are obtained by means of the integration between FADN and SIARL (Agricultural Information System of Lombardy Region) information, in order to fit the territorial dimension. The simulation results of 11 different scenarios are discussed.

Suggested Citation

  • Bulgheroni, Claudia & Sali, Guido, 2008. "Pressure Factors Affecting Lombardy Agricultural System: The Environmental Consequences Of The Fischler Reform," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44827, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa109:44827
    DOI: 10.22004/ag.econ.44827
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    References listed on IDEAS

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    1. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    2. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 57.
    3. Ottmar Röhm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
    4. Heckelei, Thomas & Britz, Wolfgang, 2005. "Models Based on Positive Mathematical Programming: State of the Art and Further Extensions," 89th Seminar, February 2-5, 2005, Parma, Italy 234607, European Association of Agricultural Economists.
    5. Schmid, Erwin & Sinabell, Franz, 2005. "Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models," Discussion Papers DP-10-2005, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    6. Bartolini, F. & Bazzani, G.M. & Gallerani, V. & Raggi, M. & Viaggi, D., 2007. "The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models," Agricultural Systems, Elsevier, vol. 93(1-3), pages 90-114, March.
    7. Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
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    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Research Methods/ Statistical Methods;
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